Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -1.7 * weight + 123
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Page
1
71 kgToumire
2
69 kgVauquelin
3
69 kgCoqueret
5
69 kgBaudin
10
64 kgCostiou
15
64 kg
1
71 kgToumire
2
69 kgVauquelin
3
69 kgCoqueret
5
69 kgBaudin
10
64 kgCostiou
15
64 kg
Weight (KG) →
Result →
71
64
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PAGE Hugo | 71 |
| 2 | TOUMIRE Hugo | 69 |
| 3 | VAUQUELIN Kévin | 69 |
| 5 | COQUERET Louis | 69 |
| 10 | BAUDIN Alex | 64 |
| 15 | COSTIOU Ewen | 64 |